并发组:一种观察实时多处理器锁嵌套的新方法

IF 1.4 4区 计算机科学 Q3 COMPUTER SCIENCE, THEORY & METHODS Real-Time Systems Pub Date : 2019-11-06 DOI:10.1145/3356401.3356404
Catherine E. Nemitz, Tanya Amert, Manish Goyal, James H. Anderson
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引用次数: 4

摘要

在设计实时多处理器锁定协议时,允许锁嵌套会产生复杂情况,从而抑制并行性。这样的协议通常是通过关注应禁止同时执行的资源请求的仲裁来设计的。本文提出了“并发组”,这是一个新概念,反映了另一种观点,即专注于可以允许并发执行的请求。并发组只是一组锁定请求,离线确定,可以安全地一起执行。本文的主要贡献是CGLP,这是一种新的实时多处理器锁定协议,通过使用并发组来支持锁嵌套。CGLP能够通过离线地在并发组的构建中投入精力,获得先前协议所没有的运行时并行性优势。提出了一项可调度性研究来量化这些好处,以及一种使用整数线性规划(ILP)求解器确定此类组的方法,我们在实践中证明了这是有效的。
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Concurrency groups: a new way to look at real-time multiprocessor lock nesting
When designing a real-time multiprocessor locking protocol, the allowance of lock nesting creates complications that can inhibit parallelism. Such protocols are typically designed by focusing on the arbitration of resource requests that should be prohibited from executing concurrently. This paper proposes “concurrency groups,” a new concept that reflects an alternative point of view that focuses instead on requests that can be allowed to execute concurrently. A concurrency group is simply a group of lock requests, determined offline, that can safely execute together. This paper’s main contribution is the CGLP, a new real-time multiprocessor locking protocol that supports lock nesting through the use of concurrency groups. The CGLP is able to reap runtime parallelism benefits that have eluded prior protocols by investing effort offline in the construction of concurrency groups. A schedulability study is presented to quantify these benefits, as well as an approach to determining such groups using an Integer Linear Program (ILP) solver, which we show to be efficient in practice.
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来源期刊
Real-Time Systems
Real-Time Systems 工程技术-计算机:理论方法
CiteScore
2.90
自引率
7.70%
发文量
15
审稿时长
6 months
期刊介绍: Papers published in Real-Time Systems cover, among others, the following topics: requirements engineering, specification and verification techniques, design methods and tools, programming languages, operating systems, scheduling algorithms, architecture, hardware and interfacing, dependability and safety, distributed and other novel architectures, wired and wireless communications, wireless sensor systems, distributed databases, artificial intelligence techniques, expert systems, and application case studies. Applications are found in command and control systems, process control, automated manufacturing, flight control, avionics, space avionics and defense systems, shipborne systems, vision and robotics, pervasive and ubiquitous computing, and in an abundance of embedded systems.
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